GCP Data Engineer

Remote, US

$75-85k plus bonus plus benefits

For more information on benefits and what we offer please visit us at

The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position.

The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.

The Cloud Data Engineer is a hands-on role responsible for performance, availability and scalability of the public cloud environment. You will collaborate with other Architects and Engineers to enable enterprise applications to meet the organizations business goals.

• Work closely with application development and data engineers on day-to-day tasks.
• Participate in project planning and implementation.
• Coordinate with Data Scientists, Product Managers and business leaders to understand data needs and deliver on those needs.
• Create and maintain optimal data pipeline architecture.
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and other data sources.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Improve, optimize and identify opportunities for efficient software development processes.
• Help achieve milestones as per sprint plan and prioritize to manage ad-hoc requests in parallel with ongoing sprints.

• 5+ years of hands-on experience in building Data pipeline (ETL/ELT) in a cloud platform
• GCP knowledge strongly preferred - other cloud experience such as AWS. AZURE is ok
• 5+ years of hands-on experience of building and operationalizing data processing systems
• Strong Python scripting experience is very important requirement
• 2+ years’ experience in No
  
  SQL databases and close familiarity with technologies/languages such as Python/R, Scala, Java, Hive, Spark, Kafka
• 2+ years’ experience working with data platforms (Data warehouse, Data Lake, ODS)
• 2+ years’ experience working with tools to automate CI/CD pipelines (e.g., Jenkins, GIT, Control-M)
• Must have working experience with the clinical data
• GCP (google cloud platform) experience
• 3+ years of experience working on healthcare / clinical data

• Data analysis / Data mapping skills
• Python
• Cloud Data flow/Data proc/Function
• Whistle map SDK
• Google Health care API/ FHIR store

• EXL Analytics offers an exciting, fast paced and innovative environment, which brings together a group of sharp and entrepreneurial professionals who are eager to influence business decisions. From your very first day, you get an opportunity to work closely with…